02-TIMCI-SPA-cgei - pilotandbaseline combined Audit Analysis
Lucas Silbernagel
30 September, 2021
library(dplyr)
library(readr)
library(ggplot2)
library(openxlsx)
library(knitr)
library(tibble)
library(stringr)
library(stringi)
library(readxl)
library(lubridate)
library(shiny)
library(plotly)1 Loading the Data and Removal of Training Data
# Unzip and extract ODK data from ODK zip
df <- as.data.frame(extract_data_from_odk_zip(params$file_path_zip, params$file_name_csv))
# Formatting dates from integer (in ms) to time stamp
df$start <- format_date_ms(df$start)
df$end <- format_date_ms(df$end)
# filtering for events that occurred after 18th July 21
df <- subset(df, as.Date(start) > as.Date("18.07.2021", "%d.%m.%Y"))2 Deriving New Features
2.1 Time Spent per Event
# subtracting end from start date
df$time_spent = round(as.numeric(df$end - df$start))2.2 Question
# splitting the node strings so that only the question name remains
df$question = sapply(df$node, create_question)2.3 Question Decoded
df <- decode_question(df, df$question, params$codebook)2.4 Categorical Answers Decoded
df <- decode_categories(df, params$codebook)2.5 Time until a Response was Changed + Stream of Answer Changes
df <- df %>%
# bringing the data in the right order
arrange(`instance ID`, node, start) %>%
# adding two empty columns to store the new features in
add_column(time_till_change=NA) %>%
add_column(changed_from=NA)
# iterating over the df and computing the time it took until an answer was changed + adding what the question was before
for (i in 1:nrow(df)){
if (df$`old-value`[i]==df$`new-value`[i-1] && !is.na(df$`old-value`[i]) && !is.na(df$`new-value`[i-1]) ){
df$time_till_change[i] <- round(as.numeric(df$start[i]-df$end[i-1]))
} else{
next
}
}2.6 Preview and Summary of the Final Data
head(df)| instance ID | event | node | start | end | latitude | longitude | accuracy | old-value | new-value | time_spent | question | question_decoded | new_value_decoded | old_value_decoded | time_till_change | changed_from |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| uuid:0007c684-8cc6-4e5a-b0f2-cb67192a8a66 | group questions | /data/a1 | 2021-09-10 11:23:46 | 2021-09-10 11:23:53 | NA | NA | NA | NA | NA | 8 | a1 | NA | NA | NA | NA | NA |
| uuid:0007c684-8cc6-4e5a-b0f2-cb67192a8a66 | question | /data/a1/a1_a_4 | 2021-09-10 11:23:46 | 2021-09-10 11:23:53 | NA | NA | NA | NA | T-F0041-P0107 | 8 | a1_a_4 | Please scan the participant’s QR code | T-F0041-P0107 | NA | NA | NA |
| uuid:0007c684-8cc6-4e5a-b0f2-cb67192a8a66 | group questions | /data/b1 | 2021-09-10 11:23:44 | 2021-09-10 11:23:46 | NA | NA | NA | NA | NA | 2 | b1 | NA | NA | NA | NA | NA |
| uuid:0007c684-8cc6-4e5a-b0f2-cb67192a8a66 | group questions | /data/b2 | 2021-09-10 11:24:39 | 2021-09-10 11:24:49 | NA | NA | NA | NA | NA | 10 | b2 | NA | NA | NA | NA | NA |
| uuid:0007c684-8cc6-4e5a-b0f2-cb67192a8a66 | question | /data/b2/b1_7 | 2021-09-10 11:24:39 | 2021-09-10 11:24:49 | NA | NA | NA | NA | 1 | 10 | b1_7 | Is this facility the closest health facility to your home? | Yes | NA | NA | NA |
| uuid:0007c684-8cc6-4e5a-b0f2-cb67192a8a66 | question | /data/b2/b2_10 | 2021-09-10 11:24:39 | 2021-09-10 11:24:49 | NA | NA | NA | NA | 1 | 10 | b2_10 | Did you miss work to bring the child to the facility today? | Yes | NA | NA | NA |
summary(df)## instance ID event node
## Length:25996 Length:25996 Length:25996
## Class :character Class :character Class :character
## Mode :character Mode :character Mode :character
##
##
##
##
## start end latitude
## Min. :2021-07-19 10:10:14 Min. :2021-07-19 10:10:17 Mode:logical
## 1st Qu.:2021-08-24 10:53:47 1st Qu.:2021-08-24 10:55:37 NA's:25996
## Median :2021-09-06 12:55:32 Median :2021-09-06 12:53:14
## Mean :2021-08-29 08:40:13 Mean :2021-08-29 09:18:03
## 3rd Qu.:2021-09-13 08:45:46 3rd Qu.:2021-09-13 09:10:01
## Max. :2021-09-17 12:13:32 Max. :2021-09-17 12:13:32
## NA's :3502
## longitude accuracy old-value new-value
## Mode:logical Mode:logical Length:25996 Length:25996
## NA's:25996 NA's:25996 Class :character Class :character
## Mode :character Mode :character
##
##
##
##
## time_spent question question_decoded new_value_decoded
## Min. : 0.00 Length:25996 Length:25996 Length:25996
## 1st Qu.: 5.00 Class :character Class :character Class :character
## Median : 12.00 Mode :character Mode :character Mode :character
## Mean : 25.95
## 3rd Qu.: 28.00
## Max. :9537.00
## NA's :3502
## old_value_decoded time_till_change changed_from
## Length:25996 Min. : 1.00 Mode:logical
## Class :character 1st Qu.: 2.00 NA's:25996
## Mode :character Median : 4.00
## Mean :10.68
## 3rd Qu.:10.00
## Max. :55.00
## NA's :258453 General Information about the Data
no_inst = length(unique(df$`instance ID`))
no_event = nrow(df)
earliest_start = as.Date(min(df$start))
latest_end = as.Date(max(df$end[!is.na(df$end)]))Total number of instances: 605
Total number of events/questions: 25996
Examination period: 2021-07-19 - 2021-09-17
4 Grouped by Time
4.1 Events/Questions Started by Day
df_by_day <- df %>%
mutate(start_date = as.Date(start)) %>%
count(start_date, name = "count")
gg1 <- ggplot(df_by_day, aes(x = start_date, y = count)) +
geom_line() +
geom_smooth(alpha=0.5, colour="red", method="loess", se=F) +
labs(title = "Number of Events/Questions Started by Day with Smoothed Regression Line", y = "Number of Questions/Events Started", x = "Satrt Date") +
theme_light()
gg1
4.2 Questions/Events started by Weekday and Hour of the Day
df_wday_hour <- df %>%
mutate(wday=wday(start, label=T, week_start = 1), hour=hour(start)) %>%
count(wday, hour, name="count_wday_hour") %>%
arrange(desc(wday))
theme_heatmap <- theme_light() +
theme(panel.grid = element_blank(),
panel.border = element_blank(),
plot.title = element_text(face = "bold", size = 11, hjust = 0.5),
axis.ticks = element_blank(),
axis.title.x = element_blank(),
axis.title.y = element_text(size=10),
axis.text.y = element_text(size = 8),
axis.text.x = element_text(size = 10),
legend.position = "none")
gg2 <- ggplot(df_wday_hour, aes(x = wday, y = hour, fill = count_wday_hour)) +
geom_tile(colour="white") +
scale_fill_gradient(low = "#fff0f0", high="#940606") +
scale_y_reverse(breaks=c(23:0), labels=c(23:0), expand = c(0,0)) +
scale_x_discrete(expand = c(0,0), position = "top") +
labs(title = "Number of Started Events/Questions by Day of Week / Hour of Day", y = "Hour of Day") +
geom_text(aes(label = count_wday_hour), size = 2) +
theme_heatmap
gg2
4.3 Distribution of Time Spent per Event/Question with largest 5 % removed
df_clean = subset(df, time_spent<quantile(df$time_spent,0.95, na.rm=TRUE))
hist(df_clean$time_spent[!is.na(df_clean$time_spent)]/60, breaks=20, xlab = "Time Spent in Minutes", main = "Histogram of the Time Spent by Question")
5 Aggregated by Event/Question
5.1 Median Time Spent by Question
df_median_time_per_question <- df %>%
filter(event=="question") %>%
group_by(question_decoded) %>%
summarise(median_time_spent = median(time_spent)) %>%
arrange(desc(median_time_spent)) %>%
mutate(median_time_spent = round(seconds_to_period(median_time_spent)))
df_median_time_per_question| question_decoded | median_time_spent |
|---|---|
| Were you given a paper or record to take with you for completing the referral? | 2M 9S |
| What is the main reason for you to choose coming here today rather than going to the closest facility? | 1M 16S |
| Were you told why to go? | 1M 0S |
| What do you intend to do now? | 1M 0S |
| When do you need to complete the referral? | 1M 0S |
| Were you told where to go? | 51S |
| Can you specify these signs and symptoms? | 37S |
| Did the provider speak in a language you understand? | 25S |
| Did you feel the provider treated you and the child with respect? | 25S |
| Did you find the provider showed concern and empathy? | 25S |
| Did you find the provider was kind to you? | 25S |
| How do you feel overall with the service you received at the facility today? | 25S |
| If QR code scanning is not possible, please manually enter the participant identification code | 25S |
| Was the service delayed or were you kept waiting for a long time? | 25S |
| Would you recommend this facility to a friend / family with a sick child? | 25S |
| Did you miss work to bring the child to the facility today? | 24S |
| Did you pay for something at the facility today? | 24S |
| Do you intend to buy some medicines outside of the facility? | 24S |
| Is this facility the closest health facility to your home? | 24S |
| Were you informed of signs / symptoms that require you to bring the child back to the facility immediately? | 19S |
| What do you intend to do if the sick child does not get completely better or become worse? | 18S |
| Were you given general information or advice about feeding or breastfeeding? | 18S |
| Can you show me all the medicines and prescriptions that you received? | 17S |
| How did you feel with the fact that the provider used of a tablet for the consultation of the child? | 16S |
| Where will you look for treatment? | 15S |
| Did the provider explain to you the result that was given by the device? | 14S |
| Can you explain to me why this device was used? | 14S |
| Please specify ‘Other’. | 14S |
| Please scan the participant’s QR code | 13S |
| Please select the current district | 12S |
| Did the provider explain to you how to give these medicines to the child at home? | 11S |
| How confident do you feel in how much of the medication to give each day and how many days to give it? | 11S |
| Who will you ask for advice? | 11S |
| Did the provider give or prescribe any medicines for the child to take home? | 9S |
| Did the provider refer the child? | 9S |
| Did the provider tell you what illness your child has? | 9S |
| fcode | 8S |
| How many work days did you miss as the result of this visit? | 6S |
| Did the provider use the device that is represented in the following picture during the consultation of the child? | 4S |
| Did the provider use a tablet like this one for the consultation of the child? | 3S |
5.2 Count of Input Changes and Median Time until Input was Changed by Question
df_changes_per_question <- df %>%
filter(event=="question",
!is.na(time_till_change)) %>%
group_by(question_decoded) %>%
summarise(count_input_changes=n(),
median_time_till_change=median(time_till_change),
sd_time_till_change=sd(time_till_change)) %>%
arrange(desc(count_input_changes)) %>%
mutate(median_time_till_change = round(seconds_to_period(median_time_till_change)),
sd_time_till_change = round(seconds_to_period(sd_time_till_change), 1)) %>%
filter(count_input_changes > 1)
df_changes_per_question| question_decoded | count_input_changes | median_time_till_change | sd_time_till_change |
|---|---|---|---|
| Did the provider explain to you how to give these medicines to the child at home? | 29 | 3S | 15.4S |
| How confident do you feel in how much of the medication to give each day and how many days to give it? | 18 | 4S | 16.2S |
| Do you intend to buy some medicines outside of the facility? | 12 | 6S | 13.3S |
| If QR code scanning is not possible, please manually enter the participant identification code | 11 | 3S | 20.7S |
| How do you feel overall with the service you received at the facility today? | 10 | 6S | 16S |
| Did the provider tell you what illness your child has? | 7 | 5S | 3.5S |
| Were you informed of signs / symptoms that require you to bring the child back to the facility immediately? | 6 | 10S | 18.3S |
| What do you intend to do if the sick child does not get completely better or become worse? | 6 | 3S | 21S |
| Did you miss work to bring the child to the facility today? | 5 | 2S | 17.8S |
| Was the service delayed or were you kept waiting for a long time? | 5 | 2S | 4.1S |
| Did you find the provider showed concern and empathy? | 4 | 10S | 18.9S |
| Please scan the participant’s QR code | 4 | 3S | 2.6S |
| Were you given general information or advice about feeding or breastfeeding? | 4 | 2S | 2.2S |
| Would you recommend this facility to a friend / family with a sick child? | 4 | 12S | 15S |
| Did the provider refer the child? | 3 | 3S | 12.7S |
| Did the provider use the device that is represented in the following picture during the consultation of the child? | 3 | 4S | 2.1S |
| Did you feel the provider treated you and the child with respect? | 3 | 7S | 8.7S |
| Did you find the provider was kind to you? | 3 | 19S | 24.4S |
| Did you pay for something at the facility today? | 3 | 2S | 0.6S |
| Is this facility the closest health facility to your home? | 3 | 6S | 3.2S |
| Can you show me all the medicines and prescriptions that you received? | 2 | 24S | 31.8S |
| Did the provider give or prescribe any medicines for the child to take home? | 2 | 3S | 1.4S |
5.3 Count of Old-New Value Pairs
df_stream <- df %>%
filter(!is.na(time_till_change)) %>%
count(question_decoded,
old_value_decoded,
new_value_decoded,
name="count_value_pairs",
sort=TRUE) %>%
filter(count_value_pairs > 1)
df_stream| question_decoded | old_value_decoded | new_value_decoded | count_value_pairs |
|---|---|---|---|
| Did the provider explain to you how to give these medicines to the child at home? | Yes, for all medicines | Yes, but only for some medicines | 8 |
| Did the provider explain to you how to give these medicines to the child at home? | Yes, but only for some medicines | Yes, for all medicines | 6 |
| Did the provider explain to you how to give these medicines to the child at home? | No | Yes, but only for some medicines | 5 |
| Did the provider tell you what illness your child has? | No | Yes | 5 |
| Do you intend to buy some medicines outside of the facility? | No | Yes, prescribed by the healthcare provider but not available at the facility | 5 |
| Did the provider explain to you how to give these medicines to the child at home? | Yes, but only for some medicines | No | 4 |
| Did you miss work to bring the child to the facility today? | No | Yes | 4 |
| How do you feel overall with the service you received at the facility today? | Very satisfied | Somewhat satisfied | 4 |
| Did the provider explain to you how to give these medicines to the child at home? | No | Yes, for all medicines | 3 |
| Do you intend to buy some medicines outside of the facility? | Yes, prescribed by the healthcare provider but not available at the facility | No | 3 |
| How confident do you feel in how much of the medication to give each day and how many days to give it? | Not confident at all | Neutral | 3 |
| How confident do you feel in how much of the medication to give each day and how many days to give it? | Very confident | Not confident at all | 3 |
| How do you feel overall with the service you received at the facility today? | Somewhat satisfied | Very satisfied | 3 |
| Were you given general information or advice about feeding or breastfeeding? | None of the above | Guidance on feeding | 3 |
| Were you informed of signs / symptoms that require you to bring the child back to the facility immediately? | No | Yes | 3 |
| Did the provider explain to you how to give these medicines to the child at home? | Yes, for all medicines | No | 2 |
| Did the provider give or prescribe any medicines for the child to take home? | Yes | No | 2 |
| Did the provider refer the child? | Yes | No | 2 |
| Did you feel the provider treated you and the child with respect? | Agree | Strongly agree | 2 |
| Did you find the provider showed concern and empathy? | Agree | Strongly agree | 2 |
| How confident do you feel in how much of the medication to give each day and how many days to give it? | Neutral | Quite confident | 2 |
| How confident do you feel in how much of the medication to give each day and how many days to give it? | Very confident | Quite confident | 2 |
| Is this facility the closest health facility to your home? | Yes | No, closest facility is also public | 2 |
| Was the service delayed or were you kept waiting for a long time? | Strongly agree | Neither agree nor disagree | 2 |
| Were you informed of signs / symptoms that require you to bring the child back to the facility immediately? | Yes | No | 2 |
| What do you intend to do if the sick child does not get completely better or become worse? | Return to this facility | Not sure | 2 |
| Would you recommend this facility to a friend / family with a sick child? | Strongly agree | Agree | 2 |
6 Aggregated by Instance
6.1 Top 10 % of Duration by Instance
df_duration_per_inst <- df %>%
group_by(`instance ID`) %>%
summarise(duration_per_inst = max(end, na.rm=T) - min(start, na.rm=T)) %>%
filter(duration_per_inst>quantile(duration_per_inst, 0.9, na.rm=TRUE)) %>%
mutate(duration_per_inst = round(seconds_to_period(duration_per_inst))) %>%
arrange(desc(duration_per_inst))
df_duration_per_inst| instance ID | duration_per_inst |
|---|---|
| uuid:50e579ce-3dde-43f0-9aec-d524233cfcb0 | 13d 8H 41M 3S |
| uuid:cc442175-3aa6-4243-b00d-e672a0585178 | 23H 15M 53S |
| uuid:fe19d5c8-1133-4a84-ba9f-92c297706c26 | 22H 53M 8S |
| uuid:4c2f4e8c-7123-4990-aa87-3d678ff428cc | 21H 49M 28S |
| uuid:e7574a4b-ff0b-4b2f-9942-9f4282524a99 | 10H 56M 26S |
| uuid:04062787-e431-47f3-a276-7e7449c1ba31 | 10H 41M 35S |
| uuid:e7b710f5-009f-4c2a-9844-5755892fd15f | 10H 13M 53S |
| uuid:894e09b4-b086-4f3d-b5ad-9b37c3d7db5e | 10H 3M 3S |
| uuid:22836c00-cfca-40f4-b93c-016f38b39f2f | 9H 54M 15S |
| uuid:5d8c5ed1-38a4-4f61-af34-c91790768807 | 9H 28M 30S |
| uuid:779cbe18-561e-4193-ba35-9a4af5fd2542 | 9H 23M 43S |
| uuid:e6c374ba-9eba-43f8-886e-64970a4199ef | 9H 20M 49S |
| uuid:90b6756a-b478-47d5-8b5c-66f10b5cb41e | 9H 18M 38S |
| uuid:99b5b7c4-181d-47ae-8c7f-e1bbdef04fe1 | 9H 13M 55S |
| uuid:dbf06342-e53e-47f7-8c34-7ffb9d67a148 | 9H 5M 60S |
| uuid:6b7f2d0a-c7f8-4b4d-9ef0-be0f370d96fd | 9H 1M 21S |
| uuid:28a13d6d-da44-4f5a-a23c-7706b20112be | 8H 59M 9S |
| uuid:8391f8ad-0967-4297-8e8a-6c9fec26a5b1 | 8H 56M 35S |
| uuid:a5d903fb-bd9c-42b1-a403-89232e57ec58 | 8H 54M 32S |
| uuid:9ac93673-a115-4950-a011-fbfc187c43ea | 8H 50M 43S |
| uuid:8585b51e-a288-4125-a062-524d72d6c465 | 8H 37M 28S |
| uuid:40f92c1d-733b-40a5-a7f7-52bc2909b075 | 8H 35M 49S |
| uuid:d7a96c16-ed12-4f1e-945f-422822d46194 | 8H 31M 4S |
| uuid:fef45a05-7161-4d88-acfb-620a954e33e7 | 8H 29M 39S |
| uuid:a8be70f0-dd30-4183-a4c8-2dbeccb1de93 | 8H 25M 23S |
| uuid:071e2190-c784-46e8-aa66-0afb95eea292 | 8H 22M 32S |
| uuid:4545b695-ca97-44ff-adfe-9604806781f8 | 8H 19M 46S |
| uuid:37c2ef80-5ed7-41df-add3-0f6383af770d | 8H 16M 11S |
| uuid:b2f88174-fa94-4eae-98da-fa9b3b54fbc4 | 8H 15M 55S |
| uuid:2e6bb90d-c464-4966-9d3b-398cd01930ee | 8H 15M 50S |
| uuid:cd4d093f-3b29-4071-a9d8-6786177cd74f | 8H 11M 6S |
| uuid:e5357bf4-4079-4b2c-940a-7b7521dacf82 | 8H 10M 57S |
| uuid:5adf39c1-5d80-4d04-9853-1833f9f1db0a | 8H 6M 11S |
| uuid:86b36993-0e4a-4778-9a5a-a046cc4cf1f9 | 8H 5M 43S |
| uuid:47428561-8e97-42a4-8153-fae672011d6a | 8H 4M 18S |
| uuid:4446cb0b-12db-46b8-b7f0-eeba2ce630a4 | 8H 3M 33S |
| uuid:56067d5b-2912-4cdd-b451-767d64eb35b1 | 7H 56M 15S |
| uuid:c56cc981-531a-4b15-889e-f935b0bc6853 | 7H 47M 1S |
| uuid:51be9539-cb94-49ec-81f8-92ae1800d0e8 | 7H 46M 32S |
| uuid:f4b56869-7d40-4343-b5d3-33bcbac3d383 | 7H 42M 56S |
| uuid:bc73c822-d152-4da7-bdc6-f535baf1c902 | 7H 41M 7S |
| uuid:9da2333c-6ff3-4f6d-9f86-b8438195bc73 | 7H 33M 26S |
| uuid:b44f6d99-f5a9-4f27-b012-034e968844f9 | 7H 33M 8S |
| uuid:f719e462-8c88-43bb-aa67-665a8eec4f83 | 7H 29M 55S |
| uuid:2a62691a-3990-4a67-acab-8a1e71cc9d0a | 7H 26M 11S |
| uuid:3925c614-1e56-402a-9f90-cb0775515eac | 7H 24M 51S |
| uuid:2d6a3f65-96ed-4dbd-8fc0-980b7eaf36b4 | 7H 17M 51S |
| uuid:4811648f-5674-4bc0-a230-fb8a5306389e | 7H 7M 1S |
| uuid:734dd702-cd51-4fd9-8e7e-178bf17ee577 | 7H 4M 46S |
| uuid:b86b9b2a-7920-47e4-8008-05e6f3b2fd72 | 6H 58M 55S |
| uuid:36213f71-2bcc-4ccb-9d1c-615b2eeaeca5 | 6H 57M 29S |
| uuid:72fcd75c-766e-4f97-84bb-5ee7fb345a60 | 6H 50M 23S |
| uuid:a0c3266b-be53-487c-95c8-a095b0fd3a33 | 6H 47M 59S |
| uuid:26294034-3cf6-4895-9c2c-a6780f5f51e4 | 6H 41M 32S |
| uuid:a4dce616-df8c-4446-81df-972900b8b241 | 6H 32M 4S |
| uuid:199020c5-9e27-404c-b21c-d2b43de67321 | 6H 20M 47S |
| uuid:8fde321c-00df-46a0-96b4-98f4188a997a | 6H 17M 36S |
| uuid:7d93d6d1-088a-4f4b-a7e6-6907e7196f9d | 6H 11M 52S |
| uuid:cce06f6f-ccd4-43e1-94c1-a1668d713c22 | 6H 6M 53S |
| uuid:3b2848bc-1fba-4ce7-882e-d5c6e455b850 | 6H 5M 31S |
| uuid:50747fec-7fb3-4d1d-81e0-259ee646625e | 5H 51M 51S |
6.2 Distribution of Duration by Instance with Top 10 % excluded
df_subsetted <- df %>%
group_by(`instance ID`) %>%
summarise(duration_per_inst = max(end, na.rm=T) - min(start, na.rm=T)) %>%
filter(duration_per_inst<quantile(duration_per_inst, 0.9, na.rm=TRUE))
hist(as.numeric(df_subsetted$duration_per_inst/60), breaks=30, main="Duration per Instance in Minutes (outliers removed)", xlab="Duration in Minutes")
7 Irregularities and Outliers
7.1 Time Till Change Outliers (for all data without removed outliers)
df_time_till_change_outliers <- df %>%
filter(time_till_change>quantile(df$time_till_change, 0.9, na.rm=TRUE)) %>%
arrange(desc(time_till_change)) %>%
mutate(time_till_change = round(seconds_to_period(time_till_change))) %>%
select(`instance ID`,
question_decoded,
old_value_decoded,
new_value_decoded,
time_till_change)
df_time_till_change_outliers| instance ID | question_decoded | old_value_decoded | new_value_decoded | time_till_change |
|---|---|---|---|---|
| uuid:93cad7f3-b38d-4574-8f62-92b39545ad35 | If QR code scanning is not possible, please manually enter the participant identification code | T-F0102-P0105 | T-F0102-P0136 | 55S |
| uuid:9abf7a26-9060-43de-a344-bad7ae1ecb1c | What do you intend to do if the sick child does not get completely better or become worse? | Return to this facility | Not sure | 54S |
| uuid:a7cde547-29d1-44e3-aa4f-a23073287462 | How do you feel overall with the service you received at the facility today? | Very satisfied | Somewhat satisfied | 54S |
| uuid:a7cde547-29d1-44e3-aa4f-a23073287462 | Did you find the provider was kind to you? | Agree | Strongly agree | 54S |
| uuid:ff4ea200-cfba-4839-bd33-a2781ef87748 | If QR code scanning is not possible, please manually enter the participant identification code | T-F0102-P0145 | T-F0102-P0087 | 53S |
| uuid:ff4ea200-cfba-4839-bd33-a2781ef87748 | Did the provider explain to you how to give these medicines to the child at home? | Yes, but only for some medicines | No | 53S |
| uuid:ff4ea200-cfba-4839-bd33-a2781ef87748 | How confident do you feel in how much of the medication to give each day and how many days to give it? | Very confident | Quite confident | 53S |
| uuid:46717996-f9dd-403b-9f85-2e519d1b0939 | Can you show me all the medicines and prescriptions that you received? | Prescriptions only, no medicines | Some medicines and some unfilled prescriptions | 46S |
| uuid:46717996-f9dd-403b-9f85-2e519d1b0939 | Did the provider explain to you how to give these medicines to the child at home? | No | Yes, but only for some medicines | 46S |
| uuid:46717996-f9dd-403b-9f85-2e519d1b0939 | How confident do you feel in how much of the medication to give each day and how many days to give it? | Neutral | Very confident | 46S |
| uuid:46717996-f9dd-403b-9f85-2e519d1b0939 | Were you informed of signs / symptoms that require you to bring the child back to the facility immediately? | Yes | No | 46S |
| uuid:1243919f-9670-4a1b-a770-41ba0233ec0f | Did you miss work to bring the child to the facility today? | No | Yes | 42S |
| uuid:808f3baa-6c4f-4a9f-8989-c7f6ae16b9fd | Did you find the provider showed concern and empathy? | Agree | Strongly agree | 42S |
| uuid:fd14f141-3196-4946-8e09-a4dffc19a138 | Did the provider explain to you how to give these medicines to the child at home? | Yes, for all medicines | Declined | 42S |
| uuid:808f3baa-6c4f-4a9f-8989-c7f6ae16b9fd | Do you intend to buy some medicines outside of the facility? | Yes, prescribed by the healthcare provider but not available at the facility | Yes, in addition to the medicines prescribed by the healthcare provider | 41S |
7.2 Histograms of Instances with Inconsistent Filling Behaviour
irregular_inst = c()
for (id in unique(df$`instance ID`)){
bin_vec = cut(df$start[df$`instance ID`==id],
breaks=10,
labels=F)
if (length(unique(bin_vec)) < 5) irregular_inst = c(irregular_inst, id)
}
paste0(length(irregular_inst), " out of ", length(unique(df$`instance ID`))," instances were found to have an inconsistent filling behaviour.")## [1] "283 out of 605 instances were found to have an inconsistent filling behaviour."last_bin_questions = c()
fig <- plot_ly(alpha=0.1)
for (id in irregular_inst){
temp_df = df[df$`instance ID`==id,]
temp_df$cut = cut(temp_df$start, breaks=10, labels=c("1. Part", "2. Part", "3. Part", "4. Part", "5. Part", "6. Part", "7. Part", "8. Part", "9. Part", "10. Part"))
fig <- fig %>% add_histogram(x=temp_df$cut, name=id)
last_bin_questions = c(last_bin_questions, temp_df$question_decoded[temp_df$cut=="10. Part"])
}
fig <- fig %>% layout(barmode = "overlay")
figkable(table(last_bin_questions) %>% as.data.frame() %>% arrange(desc(Freq)))| last_bin_questions | Freq |
|---|---|
| Do you intend to buy some medicines outside of the facility? | 21 |
| Did you miss work to bring the child to the facility today? | 16 |
| Did you pay for something at the facility today? | 16 |
| Is this facility the closest health facility to your home? | 15 |
| Did the provider explain to you how to give these medicines to the child at home? | 12 |
| Did you find the provider showed concern and empathy? | 9 |
| How confident do you feel in how much of the medication to give each day and how many days to give it? | 9 |
| If QR code scanning is not possible, please manually enter the participant identification code | 9 |
| How do you feel overall with the service you received at the facility today? | 8 |
| Would you recommend this facility to a friend / family with a sick child? | 8 |
| Did the provider speak in a language you understand? | 7 |
| Did you feel the provider treated you and the child with respect? | 7 |
| Did you find the provider was kind to you? | 7 |
| Was the service delayed or were you kept waiting for a long time? | 7 |
| What do you intend to do if the sick child does not get completely better or become worse? | 6 |
| Were you given general information or advice about feeding or breastfeeding? | 5 |
| Can you specify these signs and symptoms? | 4 |
| Were you informed of signs / symptoms that require you to bring the child back to the facility immediately? | 4 |
| Can you show me all the medicines and prescriptions that you received? | 3 |
| Did the provider use the device that is represented in the following picture during the consultation of the child? | 3 |
| Did the provider give or prescribe any medicines for the child to take home? | 2 |
| Did the provider refer the child? | 2 |
| Did the provider tell you what illness your child has? | 2 |
| Did the provider use a tablet like this one for the consultation of the child? | 2 |
| How did you feel with the fact that the provider used of a tablet for the consultation of the child? | 2 |
| Can you explain to me why this device was used? | 1 |
| Where will you look for treatment? | 1 |